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AeroBrain
AeroBrain.ai delivers aviation-grade AI decision support for airlines, defence operators, and enterprise teams that need secure, governed, mission-aware intelligence.
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Built for secure aviation AI operations.

FAQ

Frequently asked questions about AeroBrain AI

What is AeroBrain.ai?

AeroBrain.ai is the SaaS control plane for Aerobrain: an aviation-focused AI decision-support system for airlines, training organisations, and safety-critical operators. It handles access, billing, API keys, tool configuration, and governed entry points into the Aerobrain engine.

How is AeroBrain different from a generic AI assistant?

AeroBrain is built around aviation workflows, controlled knowledge, auditability, and human accountability. Instead of open-ended interaction over generic information, it combines retrieval, machine learning, and governed LLM reasoning over approved operational, training, safety, and technical sources.

Which airline departments can use AeroBrain?

The platform is designed for cross-functional use across operations control, flight operations, crew, maintenance, training and standards, safety, compliance, finance, and executive oversight. Each use case can be scoped with its own data sources, permissions, review steps, and operating limits.

Does AeroBrain support EBT and pilot training workflows?

Yes. AeroBrain is designed to support evidence-based training contexts such as instructor assistance, syllabus and standards retrieval, competency-linked debrief support, training record intelligence, and fleet-aware operational knowledge. It is intended to assist accountable training teams, not replace instructor judgement.

Can AeroBrain work with our manuals, SOPs, OM-A/B/C/D, MEL, training material, and internal policies?

Yes. AeroBrain can ground answers in approved airline documentation and operational data sources using controlled retrieval. The goal is to provide source-backed responses with provenance, version awareness, and boundaries that reflect your airline's own manuals, fleets, roles, and procedures.

How does AeroBrain integrate with existing airline systems?

AeroBrain.ai issues and governs API access to the Aerobrain HTTP API, while integrations can be connected to existing operational, training, technical, and management systems through secure API and database patterns. Typical integration planning covers identity, data residency, source approval, API-key lifecycle, logging, and usage controls.

What are API keys used for?

API keys allow authorised applications such as internal web tools, training systems, or mobile apps to call the Aerobrain API through the AeroBrain.ai portal proxy. Keys can be created, listed, revoked, and monitored per team so access remains controlled throughout the lifecycle.

Is AeroBrain autonomous?

AeroBrain supports both real-time and non-real-time decision-support workflows, including agentic capabilities where appropriate. Safety-critical and operationally sensitive use cases are designed with human-in-the-loop gates, policy limits, review steps, and clear separation between decision support and authorised action.

Can AeroBrain be deployed privately or in high-security environments?

Yes. AeroBrain is designed for enterprise deployment patterns including managed cloud, private cloud, on-premises, edge, and internet-isolated environments when the customer context requires stronger sovereignty, cybersecurity, or data-residency controls.

How does AeroBrain handle safety, compliance, and auditability?

The system is designed to support aviation governance through source provenance, traceable retrieval, access controls, usage logs, model-behaviour boundaries, and reviewable evidence. This helps safety, compliance, IT, and executive teams understand what the system used, what it returned, and where accountable human review remains required.

Is AeroBrain aligned with aviation and AI regulatory expectations?

AeroBrain is built with aviation assurance concerns in mind, including ICAO and EASA safety-management expectations, EU AI Act governance themes, and responsible AI principles such as traceability, reliability, human oversight, and risk management. Final operational approval depends on each customer's use case, data, procedures, and regulator-facing evidence package.

What data does AeroBrain need to start delivering value?

A focused pilot can begin with a small, approved knowledge set such as manuals, procedures, training standards, policies, and selected operational records. Broader value comes as more governed sources are connected across training, operations, maintenance, safety, and management domains.

How long does implementation take?

A focused proof of concept can often be scoped in weeks once data access, security requirements, and target workflows are agreed. Enterprise rollout timelines depend on system integrations, safety and security review, data preparation, deployment model, and the number of departments included.

How are enterprise engagements structured?

Enterprise engagements are scoped around the deployment model, target departments, usage governance, integration complexity, security requirements, data residency, and whether the customer requires private, high-security, or bespoke operational environments.

Do you offer demos or executive briefings?

Yes. We offer tailored briefings for airline executives, training leaders, safety and compliance teams, IT/security, and operational stakeholders. The best demo path starts with your target use case, current systems, data boundaries, and governance expectations.
Have more questions? Contact our aviation experts